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Healthcare AI Weekly

Healthcare AI Weekly

Written by: Raphael T. Malikian
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Deep dives into the most important healthcare AI research of the week. Each episode features in-depth analysis of two newly published peer-reviewed papers — one high-impact study and one overlooked gem — at the frontier of clinical artificial intelligence. Hosted by Raphael T. Malikian, MBBS, BSc (Hons), Healthcare AI Weekly goes beyond headlines to examine methodology, clinical implications, limitations, and what these findings mean for patients, providers, and the future of medicine. Watch every episode on YouTube: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research. All research content is based on peer-reviewed publications. For comments, questions, or concerns, email: rtmalikian@gmail.com Published weekly. Subscribe wherever you listen to podcasts.© 2026 Raphael T. Malikian Science
Episodes
  • Uncertainty in Clinical AI: When Models Lose What Matters Most | Healthcare AI Weekly
    Jun 20 2026
    Two papers reveal a critical blind spot in clinical AI: uncertainty handling. LLMs preserve diagnostic uncertainty less than 50% of the time, and UE safety nets fail where models are weakest. Created by Raphael T. Malikian. Contact: rtmalikian@gmail.com. #HealthcareAI #ClinicalAI #MedicalAI #AIinMedicine #DigitalHealth #PatientSafety Watch this episode on YouTube: https://youtu.be/ZMXgafippOg YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
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    8 mins
  • Healthcare AI Weekly: Skin Cancer AI + Colonoscopy Deskilling | Healthcare AI Weekly
    Jun 11 2026
    Healthcare AI Weekly - your bridge between clinical medicine and AI research. This week we examine two critical healthcare AI papers: Paper 1 - AI-powered skin cancer detection in clinical settings Paper 2 - The deskilling effect: how AI assistance in colonoscopy may reduce physician competency over time One paper shows AI outperforming clinicians in detection. The other raises an uncomfortable question: what happens to human skill when we rely on AI too much? MEDICAL DISCLAIMER: This podcast is for educational and informational purposes only. It is not intended to diagnose, treat, cure, or prevent any medical condition. Nothing discussed in this episode constitutes medical advice. If you have a medical concern or health problem, you must seek attention from a licensed medical professional immediately. Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research. #HealthcareAI #ClinicalAI #MedicalAI #AIinMedicine #DigitalHealth #MachineLearning #HealthTech #AIResearch #ClinicalDecisionSupport #HealthcareInnovation Watch this episode on YouTube: https://youtu.be/kauhiLUZJrA YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
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    7 mins
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